Federated learning requires that the different datasets share the same labels in order to train models separately and then aggregate.
Click on the
Add Dataset button in your project to add a new dataset. Load the data from the new institution or entity.
Gather multiple datasets from different institutions into one project
Annotate on multiple datasets with the same set of labels and same users
Export annotations for use in a Federated Learning model
Each dataset is trained separately with its corresponding annotations and the models are aggregated for validation or additional training cycles.